R

R is one of the most popular languages in the world for data science. Built specifically for working with data, R provides an intuitive interface to the most advanced statistical methods available today. Here are a few highlights of the language:

Built specifically for data analysis and visualization

One of the most popular languages for data science

Preferred by statisticians and academic researchers

Language of choice for cutting edge statistics

Vast collection of community-contributed packages

Rapid prototyping of data-driven apps and dashboards

R Programming

18 hours4 courses

Learn about fundamental data types, logic, and how to create your own functions using the R language.

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Applied Finance

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Finance Basics

with R

18 hours4 courses

If you are just starting to learn about finance and are new to R, this is the right track to kick things off! In this track, you will learn the basics of R and apply your new knowledge directly to finance examples, start manipulating your first (financial) time series, and learn how to pull financial data from local files as well as from internet sources.

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Machine Learning

with R

16 hours4 courses

Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

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Machine Learning

with Python

16 hours4 courses

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! In this track, you’ll learn the fundamental concepts in Machine Learning.

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Python Programming

15 hours4 courses

Discover important data structures like dictionaries and DataFrames, visualize real word data with matplotlib, and learn the art of writing your own Python functions.

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Importing & Cleaning Data

with Python

13 hours4 courses

Learn to import data from various sources, such as Excel, SQL, SAS, and right from the web. From there, learn to efficiently prepare and clean your data so it is ready to by analyzed.

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Data Manipulation

with Python

16 hours4 courses

Harness the power of tools such as pandas and SQLAlchemy so you can extract, filter, and transform your data quickly and efficiently.

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Machine Learning

with Python

16 hours4 courses

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! In this track, you’ll learn the fundamental concepts in Machine Learning.

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R Programming

18 hours4 courses

Learn about fundamental data types, logic, and how to create your own functions using the R language.

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Applied Finance

Learn More

Finance Basics

with R

18 hours4 courses

If you are just starting to learn about finance and are new to R, this is the right track to kick things off! In this track, you will learn the basics of R and apply your new knowledge directly to finance examples, start manipulating your first (financial) time series, and learn how to pull financial data from local files as well as from internet sources.

Learn More

Machine Learning

with R

16 hours4 courses

Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

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Learn real world skills

In every DataCamp exercise, you are writing and running real R, Python, or SQL code. You won’t just learn the theory, you’ll get hands-on experience exploring real data sets in courses covering the entire data science workflow.

A curriculum by world-class Instructors

DataCamp courses are taught by the best instructors in the world. Our instructors come from academia and industry, are package creators and project maintainers, and have developed some of the most widely used data science tools in the world. With DataCamp, you’ll be learning from the experts.

Get fluent with case studies and practice mode

Everyone knows practice is key. With case studies built into every course, you’ll get to apply your new skills right away. Plus, in practice mode, you’ll be able to keep your skills razor sharp with fun daily challenges.

In the future, I will use DataCamp every time I teach R.

Lise is using DataCamp to help her colleagues learn R and to sharpen her own data science skills.

I think it is obvious that DataCamp is the best platform for those seeking to learn data science.

Cameron White used DataCamp to help him land a job as a Data Analyst.

DataCamp taught me new packages which entirely changed the way I conduct my daily job.

Marco Venè is a Data Analyst in Berlin where he uses DataCamp to help him do his job more efficiently.

I've progressed along my learning goals far further than I ever thought I would.

Vishnu is studying International Business and is using DataCamp to prepare for a career in data analytics.

From vectors, to data frames, to creating your own visualizations, DataCamp has courses on everything.

Frequently Asked Questions

What's the difference between a career track and a skill track?

Our career tracks cover everything you need to kickstart your career, from our intro courses to our most advanced offerings. Our skill tracks are shorter and let you specialize in a specific area, like data visualization or statistics.

Once I've started, can I change tracks?

Of course! If you decide to rejoin a track, any new course progress will be applied automatically.

Will I earn a certificate for completing a track?

Yes. In addition to earning certificates for each course you complete, you will earn a special certificate upon completing a track.

Resources

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About

DataCamp offers interactive R and Python courses on topics in data science, statistics, and machine learning. Learn from a team of expert teachers in the comfort of your browser with video lessons and fun coding challenges.